RISC, ECE, CEMSE, KAUST, Thuwal, Saudi Arabia Email (personal): moh_shahab@hotmail.com I'm currently on the job market. |
I received my Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo in 2020, where I worked on adaptive control under the supervision of Prof. Daniel E. Miller. I currently hold a postdoctoral position at the Robotics, Intelligent Systems & Control (RISC) Laboratory at KAUST, working with Prof. Eric Feron.
My work is in the areas including and in between robotics and control theory. In my doctoral work, I developed a multi-model adaptive control algorithm for systems under uncertainty and with minimal assumptions, proving never-before-seen linear-like closed-loop properties. At KAUST, my work involves a modular aerial robot system under uncertainty, namely a rigid assembly of tetrahedral-shaped aerial robots with an unknown configuration. Previously, I worked in industry as a research & development engineer with Baker Hughes, where I applied machine learning techniques to integrate oil & gas well-log data processing and petrophysical interpretation.
I am interested in working at the crossroads between theory and application to deal with autonomous systems under uncertainty. Current research interests include adaptive control, robotics, autonomous systems, control under uncertainty, optimization & control, and learning-based control.
M.T. Shahab, D.E. Miller, “Asymptotic Tracking and Linear-like Behavior Using Multi-Model Adaptive Control,” IEEE Transactions on Automatic Control, 2022. [PDF]
M.T. Shahab, D.E. Miller, “Adaptive Control of a Class of Discrete-Time Nonlinear Systems Yielding Linear-like Behavior,” Automatica, 2021.
D.E. Miller, M.T. Shahab, “Linear-like Properties Arise Naturally in the Adaptive Control Setting,” International Journal of Adaptive Control and Signal Processing, 2021. [manuscript]
D.E. Miller, M.T. Shahab, “Adaptive tracking with exponential stability and convolution bounds using vigilant estimation,” Mathematics of Control, Signals, and Systems, 2020. [manuscript]
D.E. Miller, M.T. Shahab, “Classical pole placement adaptive control revisited: linear-like convolution bounds and exponential stability,” Mathematics of Control, Signals, and Systems, 2018. [manuscript]
A. Khoukhi, M.T. Shahab, “Stabilized feedback control of unicycle mobile robots,” International Journal of Advanced Robotic Systems, 2013.
O. Wali, M.T. Shahab, E. Feron, “A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots,” 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023. [video]
M.T. Shahab, O. Wali, E. Feron. “Automatic Identification of a Modular Unmanned Aerial System (UAS) with Experimental Verification,“ AIAA SCITECH 2023 Forum, 2023.
I.A. Alomar, F. Alhani, A.A. Alfaadehl, E. Feron, H. Shageer, M.T. Shahab, “Run-Time Assurance via Real-time Generation of Backup Trajectories and Transverse Dynamics Regulation Laws,“ AIAA SCITECH 2023 Forum, 2023.
M.T. Shahab, K. Garanger, E. Feron, “Control of an Assembly of Aerial Vehicles under Uncertainty,” 2022 American Control Conference (ACC), 2022. [PDF]
M.T. Shahab, D.E. Miller, “Model Reference Adaptive Control with Linear-like Closed-loop Behavior,” 2021 IEEE Conference on Decision and Control (CDC), 2021. [extended]
M.T. Shahab, D.E. Miller, “The Inherent Robustness of a New Approach to Adaptive Control,” 2020 IEEE Conference on Control Technology and Applications (CCTA), 2020. [PDF]
M.T. Shahab, D.E. Miller, “Adaptive Set-Point Regulation Using Multiple Estimators,” 2019 IEEE Conference on Decision and Control (CDC), 2019. [PDF]
M.T. Shahab, D.E. Miller, “Exponential Stability for Adaptive Control of a Class of First-Order Nonlinear Systems,” 13th IFAC Workshop on Adaptive and Learning Control Systems, 2019. [manuscript]
D.E. Miller, M.T. Shahab, “Classical d-Step-Ahead Adaptive Control Revisited: Linear-Like Convolution Bounds and Exponential Stability,” 2019 American Control Conference (ACC), 2019. [extended]
M.T. Shahab, D.E. Miller, “Multi-Estimator Based Adaptive Control Which Provides Exponential Stability: the First-Order Case,” 2018 IEEE Conference on Decision and Control (CDC), 2018. [PDF]
M.T. Shahab, G. Jin, A. Negara, G. Agrawal, “New Data-Driven Method for Predicting Formation Permeability Using Conventional Well Logs and Limited Core Data,” SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, 2016.
M.T. Shahab, R. Doraiswami, “A novel two-stage identification of unstable systems,” 2009 IEEE International Conference on Control and Automation, 2009.
M.T. Shahab, R. Doraiswami, “Identification of a class of unstable processes,” 5th IEEE GCC Conference & Exhibition, 2009.
B. Maassarani, J. Epps, K. Garanger, M.T. Shahab, O. Wali, E. Feron, “Tetrahedral and Dodecahedral UASs, Structured Designs,” in: Unmanned Aerial Vehicles Applications: Challenges and Trends, 2023. [Full Book]
M.T. Shahab, M. Elshafei, “Distributed Optimization of Multi-Robot Motion with Time-Energy Criterion,” in: Path Planning for Autonomous Vehicles, 2019. [PDF]
M.T. Shahab, D.E. Miller, “A convolution bound implies tolerance to time-variations and unmodelled dynamics,” 2019.
M.T. Shahab, “Multi-Estimator-Based Adaptive Control Which Provides Exponential Stability: The First-Order Case”, 8th Meeting on Systems and Control Theory, 2018. [abstract]
M.T. Shahab, G. Jin, G. Agrawal, “Total Organic Carbon Prediction from Well Logs Using the Support Vector Regression Technique,” 12th Middle East Geosciences Conference & Exhibition, 2016. [abstract]
M.T. Shahab, A. Khoukhi, F. Al-Sunni, “Time-energy optimal control of a mobile robot using direct numerical method,” 2013.
“A New Approach to Multi-Model Adaptive Control,” Ph.D. Thesis, University of Waterloo, 2020. [PDF]
“Time-energy optimization of motion of multi-robot system,” Master Thesis, King Fahd University of Petroleum and Minerals, 2014. [ProQuest]
“Design of a Rotational Speed Measurement System by Computer Vision for Quality Testing,” Undergraduate Senior Project, King Fahd University of Petroleum and Minerals, 2007. [PDF]